Triple

T6548389
Position Surface form Disambiguated ID Type / Status
Subject Aluku language E151066 entity
Predicate hasAlternativeName P39 FINISHED
Object Aluku Djuka
Aluku Djuka is a Maroon Creole language spoken by the Aluku people, primarily in French Guiana and Suriname.
 E604538 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aluku Djuka | Statement: [Aluku language, hasAlternativeName, Aluku Djuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aluku Djuka
Context triple: [Aluku language, hasAlternativeName, Aluku Djuka]
  • A. Jahaz
    Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
  • B. Dukenburg
    Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
  • C. Skudai
    Skudai is a rapidly developing suburban town in the Malaysian state of Johor, known for housing Universiti Teknologi Malaysia and serving as part of the greater Johor Bahru metropolitan area.
  • D. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • E. Ulstein
    Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aluku Djuka
Triple: [Aluku language, hasAlternativeName, Aluku Djuka]
Generated description
Aluku Djuka is a Maroon Creole language spoken by the Aluku people, primarily in French Guiana and Suriname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aluku Djuka
Target entity description: Aluku Djuka is a Maroon Creole language spoken by the Aluku people, primarily in French Guiana and Suriname.
  • A. Jahaz
    Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
  • B. Dukenburg
    Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
  • C. Skudai
    Skudai is a rapidly developing suburban town in the Malaysian state of Johor, known for housing Universiti Teknologi Malaysia and serving as part of the greater Johor Bahru metropolitan area.
  • D. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • E. Ulstein
    Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6adf132a88190af4553857a474ebd completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d54e11fc81909aa135d7c0f2c193 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d67574cc8190acf20c1a598c32ee completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d83b53e48190881a3e1e8fa8b168 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.